Onsite AI/ML Engineer for Mobile Apps – Lisbon

Air Apps; Barcelona; On-site; EUR 60,000 - 95,000; Full time

Benefits offered by this job

Apple hardware ecosystem for work

Annual Bonus

Top-tier Health and Life Insurance

Transportation Budget

Coverflex benefits package

Pension Fund

Urban Sports Club membership

Meals provided at hub

Job summary

Air Apps in Lisbon is seeking an experienced AI/ML Engineer to design, train, and optimize ML models powering our mobile applications. You will collaborate with product managers, engineers and designers to deliver data-driven features and high-performance experiences.

The role is fully onsite at our Lisbon office, with relocation support. You will work across NLP, computer vision and deep learning, deploying models to mobile environments and staying ahead with cutting-edge AI techniques.

Qualifications

• 4+ years in AI/ML development for apps (mobile preferred).
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with NLP, computer vision and statistical modelling.
• Experience deploying ML models in production.

Responsibilities

• Develop, train, and optimize ML models for mobile app features.
• Research state-of-the-art AI techniques to boost engagement and performance.
• Collaborate with product, engineering, and design teams.
• Design scalable ML pipelines and monitor model deployment.
• Analyze large datasets to derive insights for decisions.
• Stay updated with AI trends and best practices.

Skills

AI/ML development

Python

TensorFlow

PyTorch

Deep learning

NLP

Computer vision

Cloud ML services

DS & algorithms

Production deployment

Remote collaboration

Tools

AWS

Google Cloud

Azure

Job description

Air Apps in Lisbon is seeking an experienced AI/ML Engineer to design, train, and optimize ML models powering our mobile applications. You will collaborate with product managers, engineers and designers to deliver data-driven features and high-performance experiences.

The role is fully onsite at our Lisbon office, with relocation support. You will work across NLP, computer vision and deep learning, deploying models to mobile environments and staying ahead with cutting-edge AI techniques.